Principal Data Scientist
Sand Tech Holdings Limited · South Africa ·
- Seniority
- Principal
- Category
- Data science
- Experience
- 6+ years
- Visa sponsorship
- No
- Company size
- 501-1000
Sand Tech Holdings Limited · South Africa ·
Principal Data Scientist designs AI/ML solutions to improve healthcare outcomes, leads research, mentors teams, and collaborates with cross-functional partners using Python and cloud platforms.
Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.
Our work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.
Our people are ambitious, curious and relentlessly seek impact. Our teams work alongside clients in the field, solving hard problems and deploying solutions that influence entire industries. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and development to deployment and capability building.
Our mission is simple: to harness AI to solve humanity’s most pressing challenges.
We are looking for an impact-driven Principal Data Scientist to join our growing Healthcare team. Operating at the intersection of strategic vision and advanced technical execution, the Principal Data Scientist is ultimately accountable for delivering high impact solutions to our most challenging problems using data science and machine learning within our Healthcare domain.
In this role, you will design innovative roadmaps, deliver on and oversee high-quality science implementation, and mentor our data science team, leading by example in a world-class science function. You will collaborate closely in a cross-functional team to deliver robust, scalable ML solutions, ensuring we apply the latest techniques to solve complex industry challenges and drive data-driven decision-making.
Due to the highly collaborative and internationally distributed nature of our work, successful candidates must be comfortable operating in small teams while contributing to larger, globally coordinated efforts. A strong sense of ownership, self-motivation and discipline in maintaining clear and consistent communication through virtual collaboration tools and video conferencing is essential.